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Effectiveness of self-re-learning using video recordings of advanced life support on nursing students’ knowledge, self-efficacy, and skills performance

Abstract

Background

Nurses are presumably the first to see an in-hospital cardiac arrest patient. This study proposed measuring nursing students’ knowledge, self-efficacy, and skills performance in advanced life support (ALS), 6 months after training, by sending videos taken during their final skills test after the ALS training.

Methods

This is an experimental study using a randomised control group design. This study was conducted from June to December 2018, and the subjects of the study were 4th year students, recruited through a bulletin board at a nursing university. The participants’ knowledge, self-efficacy, and skill performance in ALS were evaluated immediately after the training, and participants were videotaped during the final skills test. Thereafter, the videos were sent to the experimental group through a mobile phone messenger application, once a month, from the third month after training. Approximately six months after training day, a follow-up test was conducted for the measured variables using a blinded method. The paired t-test and Wilcoxon signed-rank test were used to compare the two groups pre-and post-intervention. The statistical significance level was set at p < .05.

Results

Six months after the ALS training, knowledge scores decreased significantly in both groups (p < 0.001). Self-efficacy decreased by about 3 points from 50.55 to 47.18 in the experimental group (p = 0.089), while it decreased by 10 points in the control group, from 50.67 to 39 (p < 0.001). The skills performance decreased from 27.5 to 26.68 in the experimental group, while it decreased significantly from 27.95 to 16.9 in the control group (p < 0.001).

Conclusion

Self-study with videos taken during an ALS skills test helps enhance the sustainable effects of training such as knowledge, self-efficacy, and skills performance.

Peer Review reports

Background

Cardiac arrest accounts for 80% of deaths in hospitals, and survival rates are not significantly different from those of pre-hospital cardiac arrests [1]. In a study conducted in a tertiary medical institution in Korea [2], the survival rate of cardiac arrest patients in the hospital for 24-h survival and survival discharge was 23.7 and 6.4%, respectively. These findings may be related to the healthcare provider’s ability to perform CPR, in addition to the patient’s age and health status.

Nurses are more likely to detect a cardiac arrest early in their care by observing the patient’s condition and its changes over 24 h [3]. Therefore, nurses’ early response is crucial [4]. When a cardiac arrest occurs in a hospital, Advanced Life Support (ALS), including Basic Life Support (BLS), monitor use, emergency medication, and advanced airway maintenance, is performed [5]. During treatment, the necessity of defibrillation and the drugs to be administered vary depending on the electrocardiogram (ECG) rhythm [6, 7]. Therefore, nurses require ALS training. Specifically, nursing students who will become future nurses are more likely to encounter cardiac arrest patients for the first time; therefore, training them in ALS is essential [8]. In addition, nursing students should be ready to work without fear when encountering cardiac arrest patients while working in the hospital after obtaining qualifications.

Previous studies on the effects of ALS training revealed that simulation-based ALS training can improve nursing students’ knowledge, critical thinking, and problem-solving [9, 10] and can also enhance their self-confidence and clinical performance [11]. Therefore, it is recommended that nursing students conduct ALS training in the nursing department curriculum. By doing so, when nursing students become new nurses and encounter cardiac arrest patients in actual clinical practice, it is important to continue to maintain knowledge and skills so that they can successfully perform their role as members of the resuscitation team [12]. However, three to six months after ALS training, the effect decreases [13, 14], and retraining is required to maintain its efficacy [15, 16]. Although prior studies have shown the effectiveness and persistence of ALS, most of these are cross-sectional studies that confirm the effects before and after education. Intervening research is required to confirm the continuity of educational effects and to maintain knowledge, self-efficacy, and performance.

Therefore, this study compared the continuous effects of ALS training by measuring nursing students’ knowledge, self-efficacy, and skills performance in ALS, immediately after training and six months after training.

Methods

Design and setting

This experimental study, using a randomised control-group pre-test–post-test design, verified the sustained effects of the Korean Advanced Life Support (KALS) training on nursing students’ knowledge, self-efficacy, and skill performance in ALS.

KALS provider course

KALS training is an ALS training program developed by the Korean Association of Cardiopulmonary Resuscitation (KACPR) ALS committee, since factors such as long training hours and the high training costs of the American Heart Association’s (AHA ACLS Provider Course obstruct the spread of education. This training is a one-day (five to six-hour) course wherein the knowledge and skills required for first aid treatment of cardiac arrest patients in hospitals or ambulances is provided.

Participants

In May 2018, an announcement was made on the bulletin board of the department of nursing at a university about the annual ALS training and recruited the study participants. The study participants were 4th-year students in the Department of Nursing at K University, who met the following inclusion criteria: 1) understood the research purpose, participated voluntarily, and agreed to shoot videos, 2) had completed the AHA’s BLS training as a final year student, and 3) who used a mobile phone messenger application that could send videos. Participants who refused to shoot videos or had already completed the AHA’s Advanced Cardiovascular Life Support (ACLS) provider course were excluded from the study because of differences in the parameters to be measured.

Sample size

The number of study participants was calculated using the G-Power (ver. 3.1.9) program. For the t-test, a statistical method was used to compare the means of two groups; the minimum number of participants was 21 per group. Therefore, based on similar prior studies [17, 18], considering a dropout rate of 20%, 50 participants were recruited, and 25 participants were assigned to each group. Allocation concealment was applied to the experimental and control groups, and the participants were not informed about which group they belonged to until the post-test. After the post-test, the control group was also sent a video of the final skills test through the mobile messenger application.

Procedure

The study followed the CONSORT 2010 guidelines [19]. The ALS training was conducted in the simulation lab at the nursing university to which the research participants belonged and was conducted over five days: 3, 9, 10, 16 and 17 June 2018. Training hours were from 09:00 to 15:00, including one hour for lunch. The study participants’ ALS training was conducted by four professional instructors registered in KACPR and consisted of five to six students per group. Two instructors were assigned to each team. One instructor conducted the final skills evaluation, and the other recorded a video using a mobile phone (iPhone 8, Apple Inc.) during the skill evaluation (Fig. 1). Immediately after ALS training, all participants were surveyed for ALS knowledge and self-efficacy and evaluated for ALS skill performance. For randomisation, after ALS training was conducted on all study subjects, a research assistant who did not participate in the experimental intervention was randomly assigned 25 subjects each to the experimental group and the control group, using a random allocation program at https://www.randomizer.org. The allocation was concealed from the experimental group and the control group until the post-test.

Fig. 1
figure1

Screenshots of recorded videos during skill performance evaluation

Each participant’s recorded video of their skills test process was sent to the experimental group through a mobile messenger application (KakaoTalk messenger, Kakao Corporation) once a month from the third month after training, while no arbitration was conducted on the control group. To prevent information leakage between the intervention and control groups, study participants were urged to not discuss whether they received videos. About six months after the date of the initial training, two evaluators participated in the evaluation in the same way and conducted a post-test of the measurement variables without knowing the experimental and control groups.

The flow chart of the research process is shown in Fig. 2.

Fig. 2
figure2

Study process

Primary outcomes

ALS knowledge

The ALS knowledge measuring tool was developed by the researcher based on the content of the ACLS provider manual and the 3rd edition of the KALS textbook by the KACPR KALS committee. The validity of the knowledge was evaluated by one emergency physician, two ACLS and KALS instructors, two nurses with more than ten years of emergency room experience, and two nursing professors. All items had a Content Validity Index (CVI) of 0.8 or higher. It comprised four questions on BLS, five on ECG recognition, four on teamwork, four on ACLS, and three on post cardiac arrest care (PCAC). A total of 20 points are possible, and the higher the score, the higher the knowledge score.

ALS self-efficacy

In this study, resuscitation self-efficacy [20] was measured by ALS self-efficacy using a modified and supplemented tool. The revised tool comprised 12 questions, including 2 questions on BLS, 3 on ECG recognition, 2 on teamwork, 3 on ALS, and 2 on PCAC. Each item was rated on a five-point Likert scale with 5 points for ‘very confident’ and 1 point for ‘very unconfident’. The higher the score, the higher the self-efficacy for professional resuscitation. The tool’s internal reliability at the time of development had a Cronbach’s alpha value of 0.91 [20] and 0.87 in this study. A total of 60 points are possible, with the lowest being 12. The higher the score, the higher the ALS self-efficacy.

ALS skills performance

The Training of In-hospital Cardiac Arrest (TROICA) checklist of the KALS committee, developed for the KALS provider course, was used after obtaining the KACPR ALS committee’s consent to measure ALS skills. The TROICA, a measurement tool for KALS skills, comprises 15 questions, including 2 questions on BLS skills, 3 on teamwork, 3 on ALS algorithms, 5 on cardiac arrest cognition and appropriate treatment instructions, and 2 on post-cardiac care. Each question was scored two, one, and zero points for correct, insufficient, and incorrect performance, respectively. A total of 30 points are possible, and the higher the score, the higher the ALS skill performance.

Ethical consideration

This study was approved by the Institutional Review Board committee of the hospital to which the first author belongs (IRB approval number: 20180518 / 20–2017-33 / 062). The purpose and procedures of the study were explained to the participants, and informed consent was obtained in writing from the voluntary participants. In further consideration of ethics, the recorded video of their ALS skills test process was also sent to the control group after the study.

Statistical analysis

Collected data were analysed using SPSS 24.0 (for Windows), and the selected statistical significance level for hypothesis testing was p < 0.05. The general characteristics of the experimental and control groups were analysed using descriptive statistics of frequency, percentage, mean, and standard deviation. To test the normality of the measured variables, the participants were analysed using the Shapiro-Wilk test, which is mostly used for 3 to 50 participants [21]. The t-test and Mann-Whitney U test were used to verify the general characteristics of the experimental and control groups, and the homogeneity of the dependent variables before the experiment. To confirm the pre-post change of the experimental group and the control group, the normal distribution was analysed by paired t-test, and the non-normal distribution was analysed using the Wilcoxon signed-rank test. The reliability of the measurement tool was analysed using Cronbach’s alpha.

Results

General characteristics of participants and homogeneity test of the experimental and control groups

Three of the 25 participants in the experimental group failed to follow up on a personal schedule, and 4 of the 25 participants in the control group dropped out of contact. Therefore, the analysis included 22 and 21 participants in the experimental and control groups, respectively (Fig. 2). There was no significant difference between the experimental and control groups’ homogeneity test for general characteristics, including gender, age, average grades, nursing degree satisfaction, and university life satisfaction (Table 1).

Table 1 Homogeneity Test of General Characteristics

Normality and homogeneity test of experimental and control groups

In the Shapiro-Wilk test of normality, the sub-items of ALS knowledge and ALS skills performance did not show a normal distribution; however, the sub-items of ALS self-efficacy showed a normal distribution. The homogeneity test using the Mann-Whitney U test and t-test showed that the average score in ALS knowledge (p = .041) for the experimental group (3.09) was lower than that of the control group (3.48). Additionally, there were no significant differences in knowledge scores, self-efficacy, and skills performance, ensuring homogeneity between the groups (Table 2).

Table 2 Homogeneity Test of Dependent Variables

Comparison of dependent variables immediately and six months after training in the experimental and control groups

Table 3 shows the differences between the experimental and control groups’ knowledge, self-efficacy, and skills performance immediately after and six months after training. Regarding the total knowledge score, the experimental group’s pre-test score (16.68) showed a statistically significant decrease compared to the post-test score (15.32) (p = .001), and the control group’s pre-test score (17.19) also showed a significant decrease compared to the post-test score (14.67) (p < .000). Self-efficacy and skills performance scores were reversed. Regarding the total self-efficacy score, the test group’s pre-test score (50.55) was not significantly lower compared with the post-test score (47.18), but the control group’s pre-test score (50.67) was significantly lower compared with the post-test score (39). Regarding the skills performance score, the pre-test score of the experimental group (27.5) was not significantly lower decreased compared to the post-test score (26.68), but the pre-test score of the control group (27.95) was significantly lower than the post-test score (16.9).

Table 3 Comparison of Variables between Experimental and Control Groups after 6 Months of Training

Comparison of dependent variables six months after training between experimental and control groups

The knowledge, self-efficacy, and skills performance of the experimental and control groups were examined six months after training. The experimental group scored higher on the total score than the control group; however, there was no significant difference in the sub-items. The self-efficacy score of the experimental group was higher than that of the control group for all sub-items. The ECG reading of the sub-items was higher in the experimental group (7.55) than in the control group (6.38), but there was no significant difference (p = .06). The other sub-items included BLS: 12.36 vs. 10.48, Teamwork: 11.73 vs. 9.05, ACLS: 7.50 vs. 5.90, PCAC: 8.05 vs. 7.19, and Total: 47.18 vs. 39. At 39.00 points, the experimental group was significantly higher than the control group (p = .002, p = .002, p = .02, p = .043, and p = .007, respectively). In the skills performance score, the experimental group scored higher than the control group in all sub-items (p < .001) (Table 4; Fig. 3).

Table 4 Differences between Pre-test and Post-test in Experimental Group and Control Group
Fig. 3
figure3

Differences of variables between pre-test and post-test in both groups

Discussion

This study verified the effectiveness and retention of nursing students after ALS training. Consequently, the experimental group that received the video showed higher persistence in knowledge, self-efficacy, and skills performance than the control group. Based on these results, ways to increase and maintain the effectiveness of ALS training are discussed.

In a study [22] evaluating BLS and ACLS knowledge of healthcare providers, participants’ average score did not exceed 50%. However, healthcare providers with BLS or ACLS training had higher knowledge scores than those without. Therefore, ALS training can improve knowledge scores. For nursing and medical school students, a study [14] measuring knowledge scores immediately after, 3–6 months after, and 6–9 months after, using traditional ACLS training and high-fidelity mannequins, showed that knowledge scores measured after 3–6 months and 6–9 months were lower compared to knowledge scores immediately after training. Additionally, a study [23] comparing existing and high-fidelity simulations on the persistence effect of ACLS knowledge among medical students also reported that ACLS knowledge scores decreased significantly after one year compared to immediately after training. In the results of this study, the knowledge scores measured after six months decreased in both the control and experimental groups, but the experimental group showed a smaller decrease than the control group. These results are similar to those of a previous study [10] on nursing students in which the control and experimental groups underwent traditional, lecture-based ACLS training and simulation-based ACLS training, respectively. Simulation training was more effective in acquiring and maintaining ACLS knowledge than lecture-based education. In a study [24] measuring knowledge two and eight weeks after ACLS training for nurses in the emergency department, knowledge retention eventually decreased. The authors emphasise that knowledge retention could be increased through simulation-based re-learning after ACLS training. Reduction of knowledge after ACLS training is considered a natural result over time, and an education renewal program is necessary to maintain knowledge retention. Additionally, it may be possible to consider ways to maintain the knowledge level through newsletters and email notifications.

Self-efficacy is an individual’s belief in his/her ability to perform a specific task or activity [25]. Simulation-based ACLS training can increase self-efficacy in ACLS skills performance. In a study [26] measuring self-efficacy before and after simulation-based ACLS training, undertaken by medical students, self-efficacy increased significantly after training. Furthermore, the experimental [10] group showed significantly higher self-efficacy than the control group in a study comparing the experimental group with the simulation-based ACLS training, and the control group with the traditional lecture-based resuscitation training. However, self-efficacy persistence decreased significantly over time [14]. In a study [27] comparing healthcare efficacy immediately after and six months after Paediatric Advanced Life Support (PALS) training of healthcare providers, self-efficacy measured after six months was significantly lower compared to immediately after training. Additionally, in a study [28] comparing nursing students immediately after and three months after BLS training, self-efficacy decreased significantly after three months.

The self-efficacy of nursing students can be determined by the ongoing interaction between cognitive, behavioural, and environmental factors [29]. The self-efficacy measured immediately after the training in this study showed no difference between the control and experimental groups. Although the self-efficacy measured six months after the training was not significantly lower in the experimental group, it was significantly lower in the control group. These results suggest that they could have re-learned their knowledge and skills of ACLS by watching their skills test videos, which could improve their retention of self-efficacy.

Simulation-based ALS training is not highly effective in improving skills performance based on previous studies. However, this performance ability decreases rapidly over time [30]. Only 30% of the nurses passed the skills test measured three months after ALS training [31], and other studies [32, 33] reported a decrease in ALS skills performance six months after ALS training. Furthermore, a systematic literature review of skills performance retention following ALS training by healthcare providers showed a decrease in skills performance between six months and one year after training [34]. Comparing the skills performance of the control group, which had no intervention in this study, immediately after and six months after training, the skills performance measured six months after training decreased significantly. As such, skills performance begins to decline between three and six months and appears to decrease significantly after one year. As a method of retaining skills performance, iterative simulation-based ALS training can improve retention [34, 35]. After six months of clinical experience, training results showed a longer-lasting effect on skills performance than those without clinical experience [34, 36]. Moreover, in ACLS training, practicing for a 2-min cycle, similar to the actual time, resulted in higher skills performance measured three months after compared to short training [37].

In this study, the experimental group was sent a video of their final skills test three months later, a relatively simple and cost-effective method to retrain themselves. Six months later, the experimental group that received the video had better retention of skills performance than the control group. This video delivery method can increase the retention of skills performance and retraining time. Timely reminders to participants who have received ALS training will be required for self-retraining.

Limitations

This study was a randomised control study; however, there are some limitations. First, this study’s results are difficult to generalise because the sample size was small, and the experiment was conducted in one institution. Second, since the same standardised tool was used at each data collection point, participants could have possibly remembered previous answers. Lastly, this local cross-sectional study of nursing students cannot be generalised to Korea. Further trials are required to improve the retention of ACLS knowledge, self-efficacy, and skills performance.

Conclusion

This study showed that sending videos to nursing students during their final skills test between training and three to six months afterwards—a relatively simple and cost-effective method after ALS training to induce self-learning, can be effective in retaining knowledge, self-efficacy, and skills performance for ALS—Further studies should confirm the most effective timing for sending the videos. Replication studies are required to further confirm these findings.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

ALS:

Advanced life support

CPR:

Cardiopulmonary resuscitation

BLS:

Basic life support

ECG:

Electrocardiogram

KALS:

Korean advanced life support

ACLS:

Advanced cardiovascular life support

KACPR:

Korean Association of Cardiopulmonary Resuscitation

AHA:

American Heart Association

CVI:

Content Validity Index

PCAC:

Post cardiac arrest care

TROICA:

Training of In-hospital Cardiac Arrest

References

  1. 1.

    Sandroni C, Nolan J, Cavallaro F, Antonelli M. In-hospital cardiac arrest: incidence, prognosis and possible measures to improve survival. Intensive Care Med. 2007;33(2):237–45. https://doi.org/10.1007/s00134-006-0326-z.

    Article  PubMed  Google Scholar 

  2. 2.

    Eo EK, Jang HY, Cheon YJ, Jung KY, Sohn DS, Cho DY, et al. Outcome of cardiopulmonary resuscitation for in-hospital cardiac arrest in a tertiary emergency department. J Korean Soc Emerg Med. 2002;13(3):312–8.

    Google Scholar 

  3. 3.

    Kim S-S, Kim B-J. Outcomes of In-hospital Cardiopulmonary Resuscitation according to the In-hospital Utstein Style in a General Hospital. In: 2005. Korean Soc Nurs Sci. 2005:37.

  4. 4.

    Shever LL. The impact of nursing surveillance on failure to rescue. Res Theory Nurs Pract. 2011;25(2):107–26. https://doi.org/10.1891/1541-6577.25.2.107.

    Article  PubMed  Google Scholar 

  5. 5.

    Craig-Brangan KJ, Day MP. Update: 2015 AHA BLS and ACLS guidelines. Nursing 2020. 2016;46(2):40–5.

    Google Scholar 

  6. 6.

    Nickasch B, Marnocha S, Grebe L, Scheelk H, Kuehl C. 'What do I do next?' Nurses' confusion and uncertainty with ECG monitoring. Medsurg Nurs. 2016;25(6):418–22.

    PubMed  Google Scholar 

  7. 7.

    Pozner C. Advanced cardiac life support (ACLS) in adults. Waltham: UpToDate; 2015.

    Google Scholar 

  8. 8.

    Powers S, Claus N, Jones AR, Lovelace MR, Weaver K, Watts P. Improving transition to practice: integration of advanced cardiac life support into a baccalaureate nursing program. J Nurs Educ. 2019;58(3):182–4. https://doi.org/10.3928/01484834-20190221-11.

    Article  PubMed  Google Scholar 

  9. 9.

    Cho GY. Effects of a simulation-based education on cardiopulmonary emergency care knowledge, critical thinking and problem solving ability in nursing students. J Fish Marine Sci Educ. 2016;28(2):439–49. https://doi.org/10.13000/JFMSE.2016.28.2.439.

    Article  Google Scholar 

  10. 10.

    Tawalbeh LI, Tubaishat A. Effect of simulation on knowledge of advanced cardiac life support, knowledge retention, and confidence of nursing students in Jordan. J Nurs Educ. 2013;53(1):38–44. https://doi.org/10.3928/01484834-20131218-01.

    Article  PubMed  Google Scholar 

  11. 11.

    Jung HJ, Chae MJ. Effect of simulation-based advanced cardiopulmonary life support education for nursing students hospitals. Korean J Health Serv Manag. 2015;9(3):127–43. https://doi.org/10.12811/kshsm.2015.9.3.127.

    Article  Google Scholar 

  12. 12.

    Forouzi MA, Heidarzadeh A, Kazemi M, Jahani Y, Afeshari M. Comparison of the combined based with the mannequin based simulation models in self efficacy, performance and satisfaction of nursing students on cardiopulmonary resuscitation. Asian J Nurs Educ Res. 2016;6(1):69–73. https://doi.org/10.5958/2349-2996.2016.00014.8.

    Article  Google Scholar 

  13. 13.

    Jung GS, Oh HM, Choi G. The implication and persistence effect of CPR education on female nursing students' knowledge, attitude, confidence and skills in performing CPR. J Korea Acad-Indust Coop Soc. 2013;14(8):3941–9. https://doi.org/10.5762/KAIS.2013.14.8.3941.

    Article  Google Scholar 

  14. 14.

    Settles J, Jeffries PR, Smith TM, Meyers JS. Advanced cardiac life support instruction: do we know tomorrow what we know today? J Continuing Educ Nurs. 2011;42(6):271–9. https://doi.org/10.3928/00220124-20110315-01.

    Article  Google Scholar 

  15. 15.

    Bender J, Kennally K, Shields R, Overly F. Does simulation booster impact retention of resuscitation procedural skills and teamwork? J Perinatol. 2014;34(9):664–8. https://doi.org/10.1038/jp.2014.72.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Delasobera BE, Goodwin TL, Strehlow M, Gilbert G, D'Souza P, Alok A, et al. Evaluating the efficacy of simulators and multimedia for refreshing ACLS skills in India. Resuscitation. 2010;81(2):217–23. https://doi.org/10.1016/j.resuscitation.2009.10.013.

    Article  PubMed  Google Scholar 

  17. 17.

    Jeong KI, Choi JY. Effect of debriefing based on the clinical judgment model on simulation based learning outcomes of end-of-life Care for Nursing Students: a non-randomized controlled trial. J Korean Acad Nurs. 2017;47(6):842–53. https://doi.org/10.4040/jkan.2017.47.6.842.

    Article  PubMed  Google Scholar 

  18. 18.

    Kang H, Yeon K, Han ST. A review on the use of effect size in nursing research. J Korean Acad Nurs. 2015;45(5):641–9. https://doi.org/10.4040/jkan.2015.45.5.641.

    Article  PubMed  Google Scholar 

  19. 19.

    Schulz KF, Altman DG, Moher D. The CG: CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 2010;8(1):18. https://doi.org/10.1186/1741-7015-8-18.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Roh YS, Issenberg SB, Chung HS, Kim SS. Development and psychometric evaluation of the resuscitation self-efficacy scale for nurses. J Korean Acad Nurs. 2012;42(7):1079–86. https://doi.org/10.4040/jkan.2012.42.7.1079.

    Article  PubMed  Google Scholar 

  21. 21.

    Shapiro SS, Wilk MB. An analysis of variance test for normality (complete samples). Biometrika. 1965;52(3/4):591–611. https://doi.org/10.1093/biomet/52.3-4.591.

    Article  Google Scholar 

  22. 22.

    Nambiar M, Nedungalaparambil NM, Aslesh OP. Is current training in basic and advanced cardiac life support (BLS & ACLS) effective? A study of BLS & ACLS knowledge amongst healthcare professionals of North-Kerala. World J Emerg Med. 2016;7(4):263–9. https://doi.org/10.5847/wjem.j.1920-8642.2016.04.004.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Lo BM, Devine AS, Evans DP, Byars DV, Lamm OY, Lee RJ, et al. Comparison of traditional versus high-fidelity simulation in the retention of ACLS knowledge. Resuscitation. 2011;82(11):1440–3. https://doi.org/10.1016/j.resuscitation.2011.06.017.

    Article  PubMed  Google Scholar 

  24. 24.

    Campbell D, Clark PC. An initiative using simulation to aid in retention of advanced cardiac life support knowledge and skills in an emergency department nurse residency program. Dimensions Crit Care Nurs. 2020;39(1):33–8. https://doi.org/10.1097/DCC.0000000000000394.

    Article  Google Scholar 

  25. 25.

    Larew C, Lessans S, Spunt D, Foster D, Covington BG. Innovations in clinical simulation: application of Benner's theory in an interactive patient care simulation. Nurs Educ Perspect. 2006;27(1):16–21.

    PubMed  Google Scholar 

  26. 26.

    Bors KP, Drake EA, Fields SA. Assessing medical student self-efficacy following cardiopulmonary emergency simulation training. West Virgin Med J. 2016;112:52+.

    Google Scholar 

  27. 27.

    Stellflug SM, Lowe NK. The effect of high fidelity simulators on knowledge retention and skill self efficacy in pediatric advanced life support courses in a rural state. J Pediatr Nurs. 2018;39:21–6. https://doi.org/10.1016/j.pedn.2017.12.006.

    Article  PubMed  Google Scholar 

  28. 28.

    Partiprajak S, Thongpo P. Retention of basic life support knowledge, self-efficacy and chest compression performance in Thai undergraduate nursing students. Nurse Educ Pract. 2016;16(1):235–41. https://doi.org/10.1016/j.nepr.2015.08.012.

    Article  PubMed  Google Scholar 

  29. 29.

    Bandura A, Walters RH: Social learning theory, vol. 1: Prentice-hall Englewood Cliffs, NJ; 1977.

  30. 30.

    Hsieh MJ, Yang CW, Chiang WC, Wang HC, Lin HY, Hsu SH, et al. The effects of different retraining frequency of simulation-based short advanced life support training on health professionals. Resuscitation. 2015;96:90. https://doi.org/10.1016/j.resuscitation.2015.09.212.

    Article  Google Scholar 

  31. 31.

    Smith KK, Gilcreast D, Pierce K. Evaluation of staff's retention of ACLS and BLS skills. Resuscitation. 2008;78(1):59–65. https://doi.org/10.1016/j.resuscitation.2008.02.007.

    Article  PubMed  Google Scholar 

  32. 32.

    Bukiran A, Erdur B, Ozen M, Bozkurt AI. Retention of nurses’ knowledge after basic life support and advanced cardiac life support training at immediate, 6-month, and 12-month post-training intervals: a longitudinal study of nurses in Turkey. J Emerg Nurs. 2014;40(2):146–52. https://doi.org/10.1016/j.jen.2012.08.011.

    Article  PubMed  Google Scholar 

  33. 33.

    Semeraro F, Signore L, Cerchiari EL. Retention of CPR performance in anaesthetists. Resuscitation. 2006;68(1):101–8. https://doi.org/10.1016/j.resuscitation.2005.06.011.

    Article  PubMed  Google Scholar 

  34. 34.

    Yang C-W, Yen Z-S, McGowan JE, Chen HC, Chiang W-C, Mancini ME, et al. A systematic review of retention of adult advanced life support knowledge and skills in healthcare providers. Resuscitation. 2012;83(9):1055–60. https://doi.org/10.1016/j.resuscitation.2012.02.027.

    Article  PubMed  Google Scholar 

  35. 35.

    Wayne DB, Butter J, Siddall VJ, Fudala MJ, Linquist LA, Feinglass J, et al. Simulation-based training of internal medicine residents in advanced cardiac life support protocols: a randomized trial. Teach Learn Med. 2005;17(3):202–8. https://doi.org/10.1207/s15328015tlm1703_3.

    Article  Google Scholar 

  36. 36.

    Jensen ML, Lippert F, Hesselfeldt R, Rasmussen MB, Mogensen SS, Jensen MK, et al. The significance of clinical experience on learning outcome from resuscitation training—a randomised controlled study. Resuscitation. 2009;80(2):238–43. https://doi.org/10.1016/j.resuscitation.2008.10.026.

    Article  PubMed  Google Scholar 

  37. 37.

    Krogh KB, Høyer CB, Østergaard D, Eika B. Time matters–realism in resuscitation training. Resuscitation. 2014;85(8):1093–8. https://doi.org/10.1016/j.resuscitation.2014.05.008.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the School of Nursing of Kangdong University for providing the necessary training room and equipment.

Funding

No funding was received for this study. All data collection and analysis fees were paid by the authors.

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Authors

Contributions

KJ and JYO conceived and designed the study, KJ and SHK analysed the data, and KJ wrote the manuscript. JYO and JYM recruited the study participants, evaluated them, and collected the data. K and SHK were involved in the interpretation of the data and contributed to the manuscript preparation. JYO and JYM were involved in title selection, data analysis, and drafting of the manuscript and approved the final manuscript. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Sung Hwan Kim.

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Ethics approval and consent to participate

This study was approved by the SMG-SNU Boramae Medical Center Institutional Review Board (IRB approval number: 20180518 / 20–2017-33 / 062). Written informed consent was obtained from all the participants.

Consent for publication

Not applicable.

Competing interests

All the authers declare that they have no competing interests.

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Jang, K., Kim, S.H., Oh, J.Y. et al. Effectiveness of self-re-learning using video recordings of advanced life support on nursing students’ knowledge, self-efficacy, and skills performance. BMC Nurs 20, 52 (2021). https://doi.org/10.1186/s12912-021-00573-8

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Keywords

  • Advanced life support
  • Retention of skills performance
  • Nursing students